DocumentCode :
2339874
Title :
Effective sketch retrieval based on its contents
Author :
Liang, Shuang ; SUN, ZHENG-XING ; Li, Bin ; Feng, Gui-huan
Author_Institution :
State Key Lab for Novel Software Technol., Nanjing Univ., China
Volume :
9
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
5266
Abstract :
Content of sketch is different to that of image, since sketch is made up of strokes, not pixels, contains more structural and semantic information. In this paper, an effective approach for content-based sketch retrieval is proposed. With structural and ambiguous properties, the contents what sketch retrieval stressed would be the topology among constitutes of sketch, which accommodate geometry invariance. Sketches retrieval is achieved by means of similarity calculation of topological features representing the sketch content. The relevance feedback is also introduced to refine the retrieval results. Experiments prove the effectiveness and efficiency of the method in content-based sketch retrieval and user independent.
Keywords :
content-based retrieval; feature extraction; graph theory; image matching; image retrieval; relevance feedback; content-based sketch retrieval; dimensionality reduction; geometry invariance; graph spectrum; relevance feedback; similarity calculation; sketch content; sketch topology; topological features; Computer science; Content based retrieval; Feedback; Geometry; Image retrieval; Information retrieval; Pixel; Shape; Sun; Topology; Dimensionality Reduction; Graph Spectrum; Relevance Feedback; Similarity; Sketch Retrieval; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527874
Filename :
1527874
Link To Document :
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